Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/kiaquila/dreamboard/agents-mdgit clone --depth 1 https://github.com/kiaquila/dreamboardWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/kiaquila/dreamboard/agents-md)<a href="https://agentmods.dev/instructions/kiaquila/dreamboard/agents-md"><img src="https://agentmods.dev/badge/instructions/kiaquila/dreamboard/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.01633 | $0.01633 |
| Opus 5 | $0.00816 | $0.00816 |
| Sonnet 5 | $0.00327 | $0.00327 |
| Haiku 4.5 | $0.00163 | $0.00163 |
Grade A, and why
dreamboard AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — dreamboard
Universal onboarding document for any AI agent (Claude Code, Codex, Gemini CLI, Cursor, etc.)
What Is dreamboard?
dreamboard is a personal visual goal-board creator. It combines a marketing landing page and a canvas-based editor where a user can place images and text, style objects, and export the result as a composed dream board.
Current implementation: static single-file web app
Core editor dependency: Fabric.js
Deploy target: Vercel via Git integration
Owner: personal project, single user
Current Phase & Status
| Area | Status |
|---|---|
| Product prototype | COMPLETE |
| Static landing + editor | COMPLETE |
| Mobile adaptation | PARTIAL — ongoing iteration |
| Frontend architecture cleanup | UPCOMING |
| Repository memory and feature-memory flow | IN PROGRESS |
| CI / AI review orchestration | COMPLETE |
| Production deploy flow | COMPLETE via Vercel Git integration |
Project Structure
dreamboard/
├── .specify/
│ └── memory/constitution.md # Process contract and non-negotiable rules
├── specs/
│ └── <feature-id>/ # Feature memory: spec.md, plan.md, tasks.md
├── index.html # Current app shell
├── package.json # Repo tooling for CI, local orchestration, and build
├── vercel.json # Vercel build/output configuration
├── scripts/
│ ├── build-static.mjs # Static build to dist/
│ ├── check-static-baseline.mjs # Repository baseline checks
│ ├── check-feature-memory.mjs # Product change -> complete specs folder enforcement
│ ├── set-implementation-agent.mjs # Local + GitHub agent policy helper
│ ├── new-worktree.mjs # macOS local worktree helper
│ ├── start-implementation-worker.mjs # Prompt preparation helper
│ ├── publish-branch.mjs # Push branch and open or reuse PR
│ ├── resolve-pr-context.mjs # Pull request context resolver for workflows
│ └── ai-review-gate.mjs # Review gate for Codex/Claude
├── docs_dreamboard/
│ ├── README.md # Durable docs index
│ ├── adr/ # Architecture decision records
│ ├── project-idea.md # Product overview and roadmap
│ └── project/
│ ├── frontend/frontend-docs.md # Frontend architecture notes
│ └── devops/ # CI/CD and orchestration contract
└── .github/workflows/ # CI, guard, AI review, Claude, deploy policy
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 133 lines · 1,633 tokens per session scan A 40e2e07a2e37
dreamboard AGENTS.md is an instructions file published in the GitHub repository kiaquila/dreamboard (10 stars, last pushed 22d ago), licensed MIT. It adds 1,633 tokens to every session, about $0.0082 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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